It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
Gang Xiang, Scott A. Starks, Vladik Kreinovich, Lu...
At early stages in the design of real-time embedded applications, the timing attributes of the computational activities are often incompletely specified or subject to changes. Lat...
Network services for finding a feasible or an optimal path subject to multiple constraints on performance metrics such as delay, jitter, loss probability, etc. give rise to multip...
A computational grid is a large-scale distributed computing environment capable of providing dependable, consistent, pervasive, and inexpensive access to high-end computational re...
Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...